
E118: AI FOMO frenzy, macro update, Fox vs Dominion, US vs China & more with Brad Gerstner
Chamath Palihapitiya (host), Jason Calacanis (host), David Sacks (host), Narrator, Brad Gerstner (guest), Brad Gerstner (guest), Narrator, David Friedberg (host), Narrator, Guest (guest), Jason Calacanis (host), Guest (guest)
In this episode of All-In Podcast, featuring Chamath Palihapitiya and Jason Calacanis, E118: AI FOMO frenzy, macro update, Fox vs Dominion, US vs China & more with Brad Gerstner explores aI gold rush, higher rates, layoffs, and China-US power struggle The episode centers on the generative AI funding boom, with the hosts and guest Brad Gerstner arguing it’s a true platform shift comparable to the internet and mobile, but rife with short‑term FOMO, overfunding, and future wipeouts.
AI gold rush, higher rates, layoffs, and China-US power struggle
The episode centers on the generative AI funding boom, with the hosts and guest Brad Gerstner arguing it’s a true platform shift comparable to the internet and mobile, but rife with short‑term FOMO, overfunding, and future wipeouts.
They connect AI and venture dynamics to a shifting macro environment: higher-for-longer interest rates, pressure on venture returns, down rounds, stock-based compensation excesses, and big-tech layoffs driven by a newfound focus on efficiency.
The discussion broadens into media responsibility (Fox vs. Dominion and defamation law), US–China great power competition (TikTok, CHIPS Act, supply chains), and geopolitical strategy around Ukraine, reflecting rising bipartisan hawkishness on China.
Cultural sidebars include Draymond Green’s critique of Black History Month, legacy admissions at elite universities, and a light-touch correction on previous Stripe analysis, all framed within how power, incentives, and narratives shape outcomes.
Key Takeaways
AI is a real platform shift, but early-stage FOMO will torch a lot of capital.
Gerstner, Chamath, and Sacks agree generative AI is as big as internet or mobile, yet note that with hundreds of startups and high deployment pressure on VCs, most AI companies funded in this wave are unlikely to produce durable value.
Get the full analysis with uListen AI
Higher-for-longer interest rates raise the bar for venture and force discipline.
With short-term instruments yielding ~5–6%+, LPs can earn solid returns with little risk, implying VCs must target 20%+ returns, be far more selective, and accept that weak funds and overvalued 2021 vintages will get squeezed.
Get the full analysis with uListen AI
In AI, infrastructure, custom silicon, and unique data (“white truffles”) may capture more value than generic models.
Chamath argues foundation models are becoming commoditized and capped in upside; the more durable moats likely sit in chips, cloud-scale compute, and proprietary datasets that materially improve model performance.
Get the full analysis with uListen AI
Big tech is pivoting from headcount growth to efficiency, and Elon’s Twitter playbook accelerated that shift.
Meta and Salesforce are cited as examples of CEOs discovering that layoffs, de-layering, and tighter stock-based compensation can speed execution and boost morale, inspiring others to “unleash their inner Elon” within public-market constraints.
Get the full analysis with uListen AI
Stock-based compensation has become a hidden, massive shareholder tax that enabled bloat.
Gerstner explains how excluding SBC from “adjusted EBITDA” masked true costs, fueled over-hiring, and diluted shareholders; he calls for comp committees to tie incentives to free cash flow per share and cap dilution around 0. ...
Get the full analysis with uListen AI
US–China rivalry is now the organizing principle (“GPC”) of policy, with TikTok as likely collateral damage.
The panel expects partial economic decoupling via CHIPS, IRA, and supply-chain shifts; TikTok is framed as an obvious political target, and ByteDance may be forced into a ban, sale, or spin-out regardless of its actual behavior.
Get the full analysis with uListen AI
Media and legal structures struggle to handle deliberate misinformation at scale.
On Fox vs. ...
Get the full analysis with uListen AI
Notable Quotes
“AI is the next platform shift, in the same way that mobile was the one before, internet was the one before.”
— Doug Leone (quoted by Jason Calacanis)
“Rates are gonna be higher than we like and they’ll stay here longer than we want.”
— Chamath Palihapitiya
“This has been the greatest grift in the history of Silicon Valley, for sure.”
— Chamath Palihapitiya, on excess stock-based compensation
“The truth is founder friendly by definition.”
— Brad Gerstner
“Teach my history from January 1st to December 31st. And then do it again. And then again. And then again.”
— Draymond Green, on Black history
Questions Answered in This Episode
How should investors distinguish between durable AI infrastructure opportunities and short-lived application-layer hype in this funding cycle?
The episode centers on the generative AI funding boom, with the hosts and guest Brad Gerstner arguing it’s a true platform shift comparable to the internet and mobile, but rife with short‑term FOMO, overfunding, and future wipeouts.
Get the full analysis with uListen AI
What concrete changes should boards and comp committees make to align stock-based compensation with long-term shareholder value instead of masking bloat?
They connect AI and venture dynamics to a shifting macro environment: higher-for-longer interest rates, pressure on venture returns, down rounds, stock-based compensation excesses, and big-tech layoffs driven by a newfound focus on efficiency.
Get the full analysis with uListen AI
In a ‘higher-for-longer’ rate environment, which types of startups and business models are best positioned to outperform the new 5–6% risk-free baseline?
The discussion broadens into media responsibility (Fox vs. ...
Get the full analysis with uListen AI
How far should the US go in decoupling from China without triggering excessive inflation or increasing the risk of open conflict?
Cultural sidebars include Draymond Green’s critique of Black History Month, legacy admissions at elite universities, and a light-touch correction on previous Stripe analysis, all framed within how power, incentives, and narratives shape outcomes.
Get the full analysis with uListen AI
If defamation standards like New York Times v. Sullivan were revised, how might that reshape coverage and accountability in legacy and tech media alike?
Get the full analysis with uListen AI
Transcript Preview
You wanna run a marathon at 57 years old?
52. 51, 2, 52.
(laughs) I'll be honest, I miss you. Can you come back to the United States please? I miss you.
I will, I will. I miss you too. I mean, the poker game can't, by definition, be as much fun if I'm not there.
It plays at bigger states and it's more challenging, but it's not as much fun.
There's not as much laughing. What's on the menu tonight for austerity 2023?
The amuse-bouche is a madeleine with, like, a terrine of foie gras.
Fantastic. Uh, in honor of Friedberg?
And then rutabaga, rutabaga salad, and then some duck thing, duck breast.
Ah, you know I love duck.
And then, and then butterscotch panna cotta.
Wow, that is great lineup. And it, you know what? I like the idea we're doing some poultry.
Chef Sean is firing on all cylinders these days.
Uh, he feels very, like, uh, engaged. He was very engaged. Yeah, he's, he's kinda goin' for it.
He's been on.
Yeah, that was quite nice the other day, Brad, because it's austerity measures, we had this incredible dish-
(laughs)
... and we're eating it and then he said, "The caviar's on the bottom."
(laughs)
And I was like, "Oh." So we just, we don't put the caviar on top. We just, just put it on the bottom.
No, no. I get it. No.
Shh, the market's down. Put the caviar on the bottom.
That's Chabais style austerity. Caviar on the bottom.
(laughs)
(laughs)
I'm not lying. Am I lying?
Oh my God.
No, he did say, "Guys, the caviar is on the bottom, not the top this week."
Let your winner slide. Rain Man, David Sachs. I'm going all in. And I said- We open sourced it to the fans and they've just gone crazy with it.
Love you, S.I.D.
Queen of quinoa. I'm going all in.
All right, Sachs is here everybody, so that means we have a quorum. Hopefully the sultan of science who is, uh, on Wall Street today, uh, taking a company public, so congrats to our bestie, Friedberg.
Ding, ding.
He couldn't make it. He's at a dinner. So with us, the fifth Beatle as it were, Brad Gerstner is here to talk all things macro. Welcome back to the pod. How's life been-
Good to be back.
... for you, Brad?
A little domo arigato to you, Jason-
Yes.
... as you eat your way through Japan.
Yes, I am on my culinary tour. I'll be back Sunday, but I am having the time of my life here.
Are you running AdWords on your food blog or no?
(laughs)
Exactly.
That's what it's come back to. I'm back to the Weblogs Inc. days. I'm just trying to make $2600 a day.
Install uListen to search the full transcript and get AI-powered insights
Get Full TranscriptGet more from every podcast
AI summaries, searchable transcripts, and fact-checking. Free forever.
Add to Chrome